Triple
T20464875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of the Bishop of Chichester |
E502020
|
entity |
| Predicate | martletNumber |
P140195
|
FINISHED |
| Object | 4 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 4 | Statement: [Arms of the Bishop of Chichester, martletNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: martletNumber Context triple: [Arms of the Bishop of Chichester, martletNumber, 4]
-
A.
numberOfMortars
Indicates the quantity or count of mortars associated with a given entity or context.
-
B.
pillarNumber
Indicates the specific numerical identifier assigned to a particular pillar within a set or structure.
-
C.
magicNumber
Indicates that an entity is a special constant or value with a particular, often hidden or predefined, significance within a system or context.
-
D.
marque
Indicates that one entity is the brand or make associated with another entity, such as a product, vehicle, or manufactured item.
-
E.
monarchNumber
Indicates the ordinal position or sequence number assigned to a monarch within a line of rulers.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a9489081908990c691a36ba04d |
completed | April 20, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:33 a.m.